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A past exam paper from the cork institute of technology for the bachelor of engineering (honours) in electronic engineering program. The exam focuses on applied digital signal processing and includes questions on topics such as spectral analysis, impulse response, and adaptive equalization. Students are required to answer any four questions within two hours, with each question worth a maximum of 25 marks. The examiners are dr. Joseph connell, prof. Gerard hurley, and dr. Sean foley.
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Answer any four questions [each 25 marks] Maximum available mark is 100.
Examiners: Dr. Joseph Connell Prof. Gerard Hurley Dr. Sean Foley
Q1. (a) A dual tone signal comprising a unity-amplitude, 10Hz sine wave and a unity- amplitude, 12Hz sine wave is sampled at 100Hz. Discuss the process of using the samples thus produced to spectrally analyse the signal accurately. [10 marks]
(b) A 16Hz, unity amplitude sinewave is sampled at 80Hz. Using a Goertzel cell and one period of samples, evaluate the DFT for the signal in at the frequency of interest. [15 marks]
Q2. (a) Spectral analysis of a noisy signal is required using the Welch Method. N samples are available. Discuss the strategy involved and comment on its performance in comparison to a straight DFT on the N samples. [10 marks]
(b) The causal impulse response of an LTI system is given as (^) h ( n )= {-3 1 4}. The causal input is given as (^) x ( n )={2 -1}. Show that (^) r (^) xy ( l )= rxx ( l )* h (− l ). (^) [15 marks]
Q3. (a) File1 contains digital data sampled at f (^) s Hz. Describe in detail using
amplitude plots the spectral implications of creating a new file2 by inserting 2 zeros between every sample in file1. Hence, given a file of data sampled at f (^) s , outline a strategy for creating a new file of data consistent with the original signal being sampled at If (^) s where I is an integer. (^) [15 marks]
(b) A signal is sampled at 8kHz. It is required to generate a second sequence of samples corresponding to a sampling frequency 24kHz. Write efficient software to perform the task. Assume any filter used is 4th^ order. [10 marks]
Q4. (a) Draw the block diagram for an adaptive equaliser or inverse modeller. Explain how it works. [7 marks]
(b) A first order adaptive linear combiner has input 7
x cos 2 k k
input (^)
4 sin
k d (^) k
minimum MSE value. [18 marks]
Q5. (a) Discuss the nature of weight convergence when adapted using the LMS algorithm. In particular, include reference to the effect of the convergence
(b) Assuming the weights in 4(b) are adapted using the LMS algorithm, calculate the weight values for the first 5 iterations starting at k = 0. Assume the initial weight values are zero and the convergence factor value is μ = 0. 1. [18 marks]